Tunnel lighting energy-saving device based on machine vision

Abstract

The tunnel lighting energy-saving device based on machine vision comprises a monitoring camera signal shunting device, a dimming device and a control unit, the control unit comprises a central processing unit, an NBIOT network module and a power supply module, the monitoring camera signal shunting device, the dimming device and the NBIOT network module are respectively connected with the central processing unit, and the power supply module is connected with the central processing unit. The power supply module provides working voltage for the central processor. According to the device, the video signal of the monitoring camera in the tunnel can be reutilized, machine vision is successfully applied to illumination and energy conservation of the expressway tunnel under the condition of not additionally adding sensing equipment, the operation cost is controlled, and the purpose of intelligent and reliable tunnel illumination and energy conservation can be achieved.

Description

Technical Field

[0001] The utility model belongs to the technical field of tunnel control, and particularly relates to a tunnel lighting energy-saving device based on machine vision. Background Technique

[0002] As an important node of expressways, tunnels are key objects for operation and maintenance of mountain expressways. Tunnel lighting, as a key facility to ensure driving safety in tunnels, to a certain extent determines the traffic safety in tunnels.

[0003] To ensure sufficient lighting while reducing operating costs, most tunnels adopt the oncoming vehicle control technology where the tunnel lights turn on when a vehicle enters the tunnel and turn off when the vehicle leaves the tunnel. The oncoming vehicle control technology can alleviate the problem of large power consumption caused by the long-term operation of tunnel lighting to a certain extent. However, this technology has the following disadvantages:

[0004] (1) The oncoming vehicle control technology requires additional vehicle sensing devices. Installing additional vehicle sensing devices at the tunnel entrance and exit requires road construction with lane closures on the already opened and operating tunnels. For sections with high traffic flow, not only are there significant safety hazards, but it is also easy to cause congestion at the tunnel entrances and exits, leading to traffic accidents.

[0005] (2) The oncoming vehicle control technology requires the renovation of existing tunnels. The newly added sensing devices need to be connected to the network and power lines, and installed after renovation on the existing tunnels, increasing the load and the original structure of the tunnels, and easily causing instability of the tunnels.

[0006] (3) The oncoming vehicle control technology has poor energy-saving effects. Although the tunnel lights are turned on only after a vehicle enters the tunnel, the visible driving length of the vehicle is much shorter than the tunnel length. Therefore, most of the tunnel lights do not provide lighting functions for the vehicle, and the energy-saving effect is poor.

[0007] (4) The oncoming vehicle control technology fails to save energy in the case of intermittent vehicle entry into the tunnel. For the situation where vehicles enter the tunnel intermittently, that is, when the first vehicle has just left the tunnel and the second vehicle immediately enters the tunnel, the oncoming vehicle control technology will keep the tunnel lights on, resulting in a complete failure of the energy-saving effect. Content of the Utility Model

[0008] Aiming at the technical problems existing in the above-mentioned prior art, the utility model provides a tunnel lighting energy-saving device based on machine vision, aiming to re-use the video signals of the monitoring cameras in the tunnel, and successfully apply machine vision to the energy-saving of expressway tunnel lighting without adding additional sensing devices, not only controlling the operating costs, but also achieving the purpose of intelligent and reliable tunnel lighting energy-saving.

[0009] To achieve the above purpose, the solution of the utility model is as follows:

[0010] Tunnel lighting energy-saving device based on machine vision, including a monitoring camera signal shunting device, a dimming device and a control unit. The control unit includes a central processor, an NBIoT network module and a power supply module. The monitoring camera signal shunting device, the dimming device and the NBIoT network module are respectively connected to the central processor, and the power supply module provides the working voltage for the central processor.

[0011] Furthermore, it also includes a monitoring camera installed in the tunnel and a lighting lamp installed in the tunnel. The monitoring camera signal shunting device is a video splitter. The input end of the video splitter is connected to the monitoring camera, and the output ends are respectively connected to the original video monitoring line in the tunnel and the central processor. The lighting lamp is connected to the dimming device.

[0012] Furthermore, it also includes a tunnel lighting fixture control box. The monitoring camera signal shunting device, the dimming device and the control unit are respectively installed in the tunnel lighting fixture control box.

[0013] Furthermore, the dimming device is a pulse width modulation lamp control device. The input end of the pulse width modulation lamp control device is connected to the central processor, and multiple output ends are respectively connected to the lighting lamps installed in the tunnel.

[0014] Advantages of the present utility model

[0015] (1) The tunnel lighting energy-saving device based on machine vision of the present utility model re-uses the video signals of the monitoring cameras in the tunnel. Without adding additional sensing devices, machine vision is successfully applied to the energy-saving of highway tunnel lighting, controlling the operation cost and achieving the purpose of intelligent and reliable tunnel lighting energy-saving.

[0016] (2) The present utility model utilizes the rich information of machine vision to improve the robustness of perception, avoiding problems such as repeated debugging of parameters and unsatisfactory perception situations.

[0017] (3) The NBIoT network module in the present utility model can transmit the tunnel lighting information to other networked devices, enabling tunnel management personnel to understand the working status of tunnel lighting in real time and dynamically, improving the tunnel operation and maintenance efficiency.

[0018] (4) The present utility model adopts a modular design, which can be conveniently and easily installed into the control box of tunnel lighting fixtures and can be connected to the monitoring camera without additional engineering work. Description of the drawings

[0019] Figure 1 It is the working principle diagram of the tunnel lighting energy-saving device based on machine vision of the present utility model.

[0020] Figure 2This is a schematic diagram of the connection structure of the energy-saving device for tunnel lighting based on machine vision of the present utility model installed in a tunnel.

[0021] Among them:

[0022] 1. Monitoring camera; 2. Lighting lamp; 3. Control unit. Specific implementation manner

[0023] The following further explains and illustrates the present utility model in conjunction with the accompanying drawings and specific embodiments. It should be noted that this specific embodiment is not used to limit the scope of rights of the present utility model.

[0024] As Figure 1 and Figure 2 shown, the energy-saving device for tunnel lighting based on machine vision provided by this specific embodiment includes a tunnel lighting control box and a monitoring camera signal splitting device, a dimming device, and a control unit 3 installed in the tunnel lighting control box.

[0025] The control unit includes a central processing unit, an NBIoT network module, and a power supply module. The monitoring camera signal splitting device, the dimming device, and the NBIoT network module are connected to the central processing unit, and the power supply module provides the working voltage for the central processing unit. The model of the central processing unit is Broadcom - BCM2711, the model of the NBIoT network module is Tashi - E33V, and the model of the power supply module is Longqiu - LM2596, all of which can be purchased on the market. The role of the NBIoT network module is to transmit the working state of the transmission control device.

[0026] The role of the control unit 3 is to collect on-site picture data using the monitoring camera 1 installed in the tunnel, perform noise reduction and foreground-background comparison on the image data through machine vision, and superimpose the optical flow technology to identify and monitor oncoming vehicles. After the calculation is completed, the recognition and monitoring results are analyzed, and according to the preset conditions, the dimming device is used to control the brightness of the tunnel lights.

[0027] The role of the NBTOI network module is to transmit the working state of the lighting lamp 2 installed in the tunnel to the network receiving device of the remote tunnel administrator through wireless Ethernet, so that the tunnel administrator can dynamically monitor the tunnel lighting state.

[0028] The monitoring camera signal splitting device uses a video splitter with the model of Jinghua - F210 - frequency divider. The input end of the video splitter is connected to the monitoring camera 1 installed in the tunnel. One output end of the video splitter is connected to the original video monitoring line in the tunnel for normal monitoring purposes; the other output end of the video splitter is connected to the central processing unit for machine vision analysis to identify whether a vehicle passes through the tunnel, so as to realize the intelligent control of the tunnel lighting.

[0029] Connect the lighting fixtures installed in the tunnel to a dimming device. The dimming device uses a pulse-width modulation (PWM) lamp control device with the model number Jiangren Electronics - GLUSB - 485 - 2. The input end of the PWM lamp control device is connected to the central processing unit, and multiple output ends are respectively connected to the lighting fixtures installed in the tunnel.

[0030] Working principle:

[0031] During use, connect the tunnel monitoring device to the central processing unit, connect the lighting fixtures installed in the tunnel to the dimming device, and connect the power supply module to the original power supply system of the tunnel to provide working voltage for the control unit 3 to ensure that the device can operate normally under the preset conditions. The control unit 3 collects on-site picture data through the monitoring cameras 1 installed in the tunnel, uses machine vision to perform noise reduction and foreground-background comparison on the image data, and superimposes the optical flow technology to identify and monitor oncoming vehicles. After the calculation is completed, the recognition and monitoring results are analyzed. According to the preset conditions, the dimming device is used to control the brightness of the tunnel lamps. The control unit 3 transmits the working status of the tunnel lighting to the network receiving device of the remote tunnel administrator through the NBTOI network module via wireless Ethernet, enabling the tunnel administrator to dynamically monitor the tunnel lighting status.

Claims

1. A tunnel lighting energy-saving device based on machine vision, characterized in that: It includes a monitoring camera signal shunting device, a dimming device and a control unit. The control unit includes a central processing unit, an NBIOT network module and a power supply module. The monitoring camera signal shunting device, the dimming device and the NBIOT network module are respectively connected to the central processing unit, and the power supply module provides the working voltage of the central processing unit.

2. The tunnel lighting energy-saving device based on machine vision according to claim 1 is characterized in that: It also includes a surveillance camera installed in the tunnel and a lighting lamp installed in the tunnel. The surveillance camera signal diversion device is a video distributor. The input end of the video distributor is connected to the surveillance camera, and the output end of the video distributor is respectively connected to the original video surveillance line and central processor of the tunnel. The lighting lamp is connected to the dimming device.

3. According to the machine vision-based tunnel lighting energy-saving device of claim 1, it is characterized in that: It also includes a tunnel lamp control box, in which the monitoring camera signal shunting device, the dimming device and the control unit are respectively installed.

4. The tunnel lighting energy-saving device based on machine vision according to claim 1 is characterized in that: The dimming device is a light control device including pulse width modulation, the input end of the light control device including pulse width modulation is connected to a central processor, and a plurality of output ends are respectively connected to lighting lamps installed in the tunnel.

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